Top Machine Learning Jobs in Paris

Lead product development for Datadog APM features, focusing on distributed tracing, performance analysis, and AI-driven troubleshooting. Work with engineers, designers, and customers to validate problems, deliver prototypes to production, define go-to-market, and measure adoption and impact.

The Junior Sales Engineer coordinates with Account Representatives, designs technical solutions, delivers training, supports clients, and creates prototypes while ensuring successful implementations.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

The Strategic Sales Executive will sell Identity Governance Administration solutions to multinational organizations, engaging with senior decision-makers and navigating lengthy sales cycles.

Lead development and optimisation of Net Revenue Management (NRM) analytical platforms, drive adoption and training, partner with commercial teams to translate insights into actions, solve complex data problems, and manage stakeholder relationships to support NRM transformation across multiple European markets.

Six-month Operations internship in Paris supporting consulting engagements across sourcing, supply chain, manufacturing, and digital operations. Conduct analyses, diagnose performance issues, develop recommendations, prepare deliverables, manage simple workstreams, interact with clients, and develop expertise in operations domains. Opportunity for travel and potential full-time offer if successful.

The role involves performing data-related tasks supporting AI content improvement in French, including data collection, evaluation, annotation, and object tagging.

Provide SAP S/4HANA functional consulting to major clients across sectors: support implementations and migrations across project phases, deliver business analysis and technical project support, and apply deep expertise in SAP modules (FI, CO, MM, SD, PP, PM, EWM), Fiori, SAC, BTP and migration tools. Work in multidisciplinary teams using Agile/Scrum/Waterfall, communicate in English, and proactively solve client problems.

Six-month Operations internship supporting analysis, diagnostics, hypothesis-driven recommendations, and deliverable preparation across Engineering, Procurement, Manufacturing, Supply Chain and Digital Operations. Perform data analysis, develop recommendations, manage simple workstreams, interact with clients internationally, and build domain expertise. Potential conversion to a permanent role.

Provide end-to-end GDPR and privacy compliance, own data subject requests and compliance documentation, embed privacy into product and ML workflows, lead commercial contracting for sales, support other legal needs (trademarks, corporate, labor), and potentially grow into the DPO role.

Drive business development and client relationship management across FraBeLux for S&P Global Ratings. Manage end-to-end sales cycles, engage senior decision-makers, identify upsell/cross-sell opportunities, leverage AI/automation and predictive analytics to inform strategies, collaborate with internal stakeholders on product development, and operate within regulatory and compliance frameworks. Hybrid role with regional travel.

Lead product vision and delivery for complex technical platforms (ML, data, middleware). Translate user and executive needs into actionable roadmaps, collaborate with engineering, incorporate customer feedback, and apply hands-on technical understanding to drive data-driven product decisions.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

The Quantitative Researcher will conduct alpha research, develop predictive models using various datasets, and enhance Python-based software tools.

As a Machine Learning Engineer, you will design and optimize models for tactical robots, leveraging self-supervised learning from EO and IR data.

Develop and deploy ML models and audience analytics to predict player behavior, segment users, and inform marketing. Create datasets, dashboards, and analytical tools, partner with cross-functional stakeholders, present insights, and improve team methodologies.

Own the full enterprise sales cycle for API and web app offerings: discovery, qualification with MEDDPICC, proposal, negotiation and close. Build and manage pipeline, collaborate with BDR/Marketing/Product/ML, track activity in HubSpot, contribute to sales playbooks, and travel to meet strategic accounts.

As a Growth Manager, you'll optimize user acquisition across multiple apps using innovative strategies while collaborating with various teams to boost efficiency and adapt to industry trends.

You will analyze creative performance, automate workflows, scale production, partner with User Acquisition teams, and improve creative processes.

Lead regional marketing strategy and execution to build brand awareness, generate enterprise pipeline, and drive customer adoption. Own positioning, demand generation, events, content, ABM, and cross-functional collaboration with Sales, Product, Partnerships, and Global Marketing to convert market opportunities into measurable business outcomes.

As a Senior Data Scientist at Back Market, you will design and implement machine learning models to optimize pricing strategies, collaborate with engineers, and communicate findings to stakeholders.

The role involves developing NLP models, maintaining them, designing conversational agents for legal drafting, and collaborating with various teams to innovate legal AI solutions.